# Developing Notes for managing and internal development ## Transforms Transforms are data structures within rules which will be integrated into other fields at build time for rules, meaning they are not directly converted. ### CLI There are some helper commands to assist with converting transforms into the excpected rule TOML format - create transform in Kibana - export it (or copy it) - run the following commmand and paste them (multiple) - copy and paste into rule, with minor format changes if needed ```console (detection_dev) ➜ detection-rules git:(initial_inv_queries) python -m detection_rules dev transforms guide-plugin-convert █▀▀▄ ▄▄▄ ▄▄▄ ▄▄▄ ▄▄▄ ▄▄▄ ▄▄▄ ▄▄▄ ▄ ▄ █▀▀▄ ▄ ▄ ▄ ▄▄▄ ▄▄▄ █ █ █▄▄ █ █▄▄ █ █ █ █ █ █▀▄ █ █▄▄▀ █ █ █ █▄▄ █▄▄ █▄▄▀ █▄▄ █ █▄▄ █▄▄ █ ▄█▄ █▄█ █ ▀▄█ █ ▀▄ █▄▄█ █▄▄ █▄▄ ▄▄█ Enter plugin contents []: !{investigate{"label":"Alerts associated with the host in the last 48h","providers":[[{"field":"event.kind","excluded":false,"queryType":"phrase","value":"signal","valueType":"string"},{"field":"host.name","excluded":false,"queryType":"phrase","value":"{{host.name}}","valueType":"string"}]],"relativeFrom":"now-48h/h","relativeTo":"now"}} [transform] [[transform.investigate]] label = "Alerts associated with the host in the last 48h" providers = [[{field = "event.kind", excluded = false, queryType = "phrase", value = "signal", valueType = "string"}, {field = "host.name", excluded = false, queryType = "phrase", value = "{{host.name}}", valueType = "string"}]] relativeFrom = "now-48h/h" relativeTo = "now" ``` Other transform support can be found under `python -m detection-rules dev transforms -h` #### Testing bypasses with environment variables Using the environment variable `DR_BYPASS_NOTE_VALIDATION_AND_PARSE` will bypass the Detection Rules validation on the `note` field in toml files. Using the environment variable `DR_BYPASS_BBR_LOOKBACK_VALIDATION` will bypass the Detection Rules lookback and interval validation on the building block rules. Using the environment variable `DR_BYPASS_TAGS_VALIDATION` will bypass the Detection Rules Unit Tests on the `tags` field in toml files. Using the environment variable `DR_BYPASS_TIMELINE_TEMPLATE_VALIDATION` will bypass the timeline template id and title validation for rules. Using the environment variable `DR_BYPASS_ESQL_KEEP_VALIDATION` will bypass local validation that ES|QL rules include a `keep` command and that non-aggregate queries list `_id`, `_version`, and `_index` in `keep` (other ES|QL checks are unchanged). Using the environment variable `DR_BYPASS_ESQL_METADATA_VALIDATION` will bypass local validation that non-aggregate ES|QL queries use `FROM ... METADATA _id, _version, _index` or an aggregate `STATS ... BY` pattern (other ES|QL checks are unchanged). In `_config.yaml`, `bypass_optional_elastic_validation: true` enables all of these bypass env vars when config is loaded. You can instead set individual top-level flags (`bypass_note_validation_and_parse`, `bypass_bbr_lookback_validation`, `bypass_tags_validation`, `bypass_timeline_template_validation`, `bypass_esql_keep_validation`, `bypass_esql_metadata_validation`); the bulk flag takes precedence if it is true. See `detection_rules/etc/_config.yaml` for an example. ## Using the `RuleResource` methods built on detections `_bulk_action` APIs The following is meant to serve as a simple example of to use the methods ```python import kibana from kibana import definitions rids = ['40e1f208-aaaa-bbbb-98ea-378ccf504ad3', '5e9bc07c-cccc-dddd-a6c0-1cae4a0d256e'] # with TypedDict, either is valid, both with static type checking set_tags = definitions.RuleBulkSetTags(type='set_tags', value=['tag1', 'tag2']) delete_tags: definitions.RuleBulkDeleteTags = {'type': 'delete_tags', 'value': ['tag1', 'tag2']} with kibana: r1 = RuleResource.bulk_enable(rids, dry_run=True) r2 = RuleResource.bulk_disable(rids, dry_run=True) r3 = RuleResource.bulk_duplicate(rids, dry_run=True) r4 = RuleResource.bulk_export(rids) r5 = RuleResource.bulk_edit(edit_object=[set_tags, delete_tags], rule_ids=rids, dry_run=True) r6 = RuleResource.bulk_delete(rids, dry_run=True) ```